Title :
Solution space of non negative matrix factorization and consideration of feature extraction on web application attacks
Author :
Matsuda, Tadamitsu
Author_Institution :
Dept. of Comput. Sci., Shizuoka Inst. of Sci. & Technol., Fukuroi, Japan
Abstract :
Non negative matrix factorization (NMF) has been used for multivariate data analysis, and a lot of algorithms concerning NMF have been investigated. In this paper, we consider the solution space of NMF from the standpoint of computational algebra, and the method for extracting features of Web application attacks.
Keywords :
algebra; data analysis; feature extraction; matrix decomposition; NMF; Web application attacks; computational algebra; feature extraction; multivariate data analysis; nonnegative matrix factorization; solution space; Data analysis; Feature extraction; Mathematical model; Matrix decomposition; Polynomials; Sparse matrices; Feature Extraction; Gröbner basis; Non negative matrix factorization; Solution Space; Web Application Attack;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6947797
